An alternative reliability method to evaluate the regional traffic congestion from GPS data obtained from floating cars

Abstract Fast and reliable evaluation of regional traffic congestion is beneficial to more effective traffic control. Based on data accumulation in modern society, more and more data‐driven methods are proposed. However, it is still not easy to process the raw data to an interpretable level in pract...

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Autores principales:	Wubei Yuan, Ping Wang, Jingwen Yang, Yun Meng
Formato:	article
Lenguaje:	EN
Publicado:	Wiley 2021
Materias:	Engineering (General). Civil engineering (General) TA1-2040 City planning HT165.5-169.9
Acceso en línea:	https://doaj.org/article/730fbf9d81fb4bac986b2dba40a5e60e
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spelling	oai:doaj.org-article:730fbf9d81fb4bac986b2dba40a5e60e2021-11-22T16:30:55ZAn alternative reliability method to evaluate the regional traffic congestion from GPS data obtained from floating cars2631-768010.1049/smc2.12001https://doaj.org/article/730fbf9d81fb4bac986b2dba40a5e60e2021-06-01T00:00:00Zhttps://doi.org/10.1049/smc2.12001https://doaj.org/toc/2631-7680Abstract Fast and reliable evaluation of regional traffic congestion is beneficial to more effective traffic control. Based on data accumulation in modern society, more and more data‐driven methods are proposed. However, it is still not easy to process the raw data to an interpretable level in practical applications. In this article, the GPS data are obtained from floating cars covering a large scale region in Xi'an, China. To link the original data to the spatiotemporal relationship of driving behaviour, a pre‐processing method with specified time–frequency rules is proposed. Through map matching and landmark mapping, it can be seen that the data dispersion degree has decreased and the quality of the original data has been improved. At the same time, deep learning methods and non‐parametric survival analysis methods are used to compare and evaluate traffic congestion. In addition, four different distributions (Exponential, Weibull, Log‐normal, and Log‐logistic) are tested to fit the accelerated failure time model (AFT), which is then compared with the Cox proportional hazards model (Cox). It is concluded that the most suitable parameter model for the test section of Xi'an South Second Ring Road is AFT (Lognormal). All those methods are tested on a randomly selected segment on the ring road in Xi'an. The results suggest dramatic improvement of data quality and successful evaluation of traffic conditions with high reliability. Potential application could be effective methods for traffic control and management in the smart city.Wubei YuanPing WangJingwen YangYun MengWileyarticleEngineering (General). Civil engineering (General)TA1-2040City planningHT165.5-169.9ENIET Smart Cities, Vol 3, Iss 2, Pp 79-90 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Engineering (General). Civil engineering (General) TA1-2040 City planning HT165.5-169.9
spellingShingle	Engineering (General). Civil engineering (General) TA1-2040 City planning HT165.5-169.9 Wubei Yuan Ping Wang Jingwen Yang Yun Meng An alternative reliability method to evaluate the regional traffic congestion from GPS data obtained from floating cars
description	Abstract Fast and reliable evaluation of regional traffic congestion is beneficial to more effective traffic control. Based on data accumulation in modern society, more and more data‐driven methods are proposed. However, it is still not easy to process the raw data to an interpretable level in practical applications. In this article, the GPS data are obtained from floating cars covering a large scale region in Xi'an, China. To link the original data to the spatiotemporal relationship of driving behaviour, a pre‐processing method with specified time–frequency rules is proposed. Through map matching and landmark mapping, it can be seen that the data dispersion degree has decreased and the quality of the original data has been improved. At the same time, deep learning methods and non‐parametric survival analysis methods are used to compare and evaluate traffic congestion. In addition, four different distributions (Exponential, Weibull, Log‐normal, and Log‐logistic) are tested to fit the accelerated failure time model (AFT), which is then compared with the Cox proportional hazards model (Cox). It is concluded that the most suitable parameter model for the test section of Xi'an South Second Ring Road is AFT (Lognormal). All those methods are tested on a randomly selected segment on the ring road in Xi'an. The results suggest dramatic improvement of data quality and successful evaluation of traffic conditions with high reliability. Potential application could be effective methods for traffic control and management in the smart city.
format	article
author	Wubei Yuan Ping Wang Jingwen Yang Yun Meng
author_facet	Wubei Yuan Ping Wang Jingwen Yang Yun Meng
author_sort	Wubei Yuan
title	An alternative reliability method to evaluate the regional traffic congestion from GPS data obtained from floating cars
title_short	An alternative reliability method to evaluate the regional traffic congestion from GPS data obtained from floating cars
title_full	An alternative reliability method to evaluate the regional traffic congestion from GPS data obtained from floating cars
title_fullStr	An alternative reliability method to evaluate the regional traffic congestion from GPS data obtained from floating cars
title_full_unstemmed	An alternative reliability method to evaluate the regional traffic congestion from GPS data obtained from floating cars
title_sort	alternative reliability method to evaluate the regional traffic congestion from gps data obtained from floating cars
publisher	Wiley
publishDate	2021
url	https://doaj.org/article/730fbf9d81fb4bac986b2dba40a5e60e
work_keys_str_mv	AT wubeiyuan analternativereliabilitymethodtoevaluatetheregionaltrafficcongestionfromgpsdataobtainedfromfloatingcars AT pingwang analternativereliabilitymethodtoevaluatetheregionaltrafficcongestionfromgpsdataobtainedfromfloatingcars AT jingwenyang analternativereliabilitymethodtoevaluatetheregionaltrafficcongestionfromgpsdataobtainedfromfloatingcars AT yunmeng analternativereliabilitymethodtoevaluatetheregionaltrafficcongestionfromgpsdataobtainedfromfloatingcars AT wubeiyuan alternativereliabilitymethodtoevaluatetheregionaltrafficcongestionfromgpsdataobtainedfromfloatingcars AT pingwang alternativereliabilitymethodtoevaluatetheregionaltrafficcongestionfromgpsdataobtainedfromfloatingcars AT jingwenyang alternativereliabilitymethodtoevaluatetheregionaltrafficcongestionfromgpsdataobtainedfromfloatingcars AT yunmeng alternativereliabilitymethodtoevaluatetheregionaltrafficcongestionfromgpsdataobtainedfromfloatingcars
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An alternative reliability method to evaluate the regional traffic congestion from GPS data obtained from floating cars

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